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Responsibilities:Lead the growth of Data and Analytics practice for Financial Services and InsuranceProvide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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The team works closely with front office groups and the technology teams that support them, including but not limited to Operational and Investment Risk, Institutional Equities & MAC investment teams, Fixed Income, Equity Research, and Wealth Management across the firm’s global offices.
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This Associate will play a key role on the Wealth Management Marketing Team and Global Marketing Paid Media COE to manage and assess media strategies, opportunities and execution for Goldman Sachs Personal Financial Management, Goldman Sachs Private Wealth Management, and Ayco Personal Financial Management advertising campaigns.
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The Global Head of AML Risk Management - Wealth reports to Citi's Chief Compliance Officer (CCO) Anti-Money Laundering (AML) / Bank Secrecy Act (BSA) and will be responsible for driving change and the primary face-off to the Wealth line-of-business, including providing thought leadership, direction and driving greater consistency in global program design and execution across our wealth management activities.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Act as a subject matter expert on wealth management products and technology platforms. Work closely with the WMC, focusing on the overall growth of Wealth Management business in the agencies either within their assigned territories or nationally as required.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stackExperience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set upExperience applying both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving.
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Leading a team of analysts and associates on various asset and wealth management related projects, including market and company financial analyses; Focusing mainly on the asset and wealth management industry.
$225,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in defining Security Zones in Azure environment, Azure Landing Zone, Hub and Spoke architecture, create Firewall rules for DMZ, knowledge on Infrastructure Management, Application and Data Domains.
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Serving as a resource for the Relationship Management teams and Bankers on trust administration and estate planning issues to ensure the highest level of client service and satisfaction.
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Use a combination of direct management and hands-on delivery to craft solutions for clients, guide and oversee the quality of the team's deliverables and recommendations and manage day-to-day stakeholder relationships.
$88,564 - $170,913 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience working on Big Data Technologies. Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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Minimum 5 years’ experience in data engineering with a proven track record in the Azure ecosystem and with Azure DevOps. Minimum 5 years’ experience with Data Modeling, ETL, and Data WarehousingMinimum 3 years’ hands on experience with Azure Services.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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hands on big data wealth management jobs in New York, Norwood, Massachusetts
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